| Title |
Discrimination of Air PD Sources Using Time-Frequency Distributions of PD Pulse Waveform |
| Authors |
이강원(Lee Kang-Won) ; 강성화(Kang Seong-Hwa) ; 임기조(Lim Ki-Joe) |
| Keywords |
PD ; STFT ; Wavelet 2D ; ANN |
| Abstract |
PD(Partial Discharge) signal emitted from PD sources has their intrinsic features in the region of time and frequency STFT(Short Time Fourier Transform) shows time-frequency distribution at the same time. 2-Dimensional matrices(33×77) from STFT for PD pulse signals are a good feature vectors and can be decreased in dimension by wavelet 2D data compression technique. Decreased feature vectors(13×24) were used as inputs of Back-propagation ANN(Artificial Neural Network) for discrimination of Multi-PD sources(air discharge sources(3), surface discharge(1)). They are a good feature vectors for discriminating Multi-PD sources in the air. |